{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "    <img src=\"https://github.com/GeostatsGuy/GeostatsPy/blob/master/TCG_color_logo.png?raw=true\" width=\"220\" height=\"240\" />\n",
    "\n",
    "</p>\n",
    "\n",
    "## Machine Learning Introduction  \n",
    "\n",
    "### Making a Variety of Predictive Machine Learning Models in Python \n",
    "\n",
    "#### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "##### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1) | [GeostatsPy](https://github.com/GeostatsGuy/GeostatsPy)\n",
    "\n",
    "### Multiple Machine Learning Models for Subsurface Modeling in Python \n",
    "\n",
    "Here's a simple workflow, demonstration of training multiple machine learning models with a single dataset.  \n",
    "\n",
    "* This is provided as a fast comparison of general behavoir of these models\n",
    "\n",
    "* I demonstration model training and tuning (automatically and by-hand)\n",
    "\n",
    "* Given the 2 predictor features and 1 response feature it is easy to visualize the data and the model\n",
    "\n",
    "This provides an opportunity to run and visualize a variety of machine learning models for experiential learning.\n",
    "\n",
    "#### Machine Learning-based Prediction\n",
    "\n",
    "Predictive machine learning methods with supervised learning: \n",
    "\n",
    "**Prediction**\n",
    "\n",
    "* non-parametric method for regression and classification\n",
    "\n",
    "* a function $\\hat{f}$ of the nearest $k$ training data in predictor feature space such that we predict a response feature $Y$ from a set of predictor features $X_1,\\ldots,X_m$. \n",
    "\n",
    "* the prediction is of the form $\\hat{Y} = \\hat{f}(X_1,\\ldots,X_m)$ \n",
    "\n",
    "**Suppervised Learning**\n",
    "\n",
    "* the response feature label, $Y$, is available over the training and testing data\n",
    "\n",
    "#### The Machine Learning Models\n",
    "\n",
    "This workflow includes the following models:\n",
    "\n",
    "* linear regression\n",
    "* k-nearest neighbor regression\n",
    "* decision tree regression\n",
    "* random forest regression\n",
    "* tree-based gradient boosting regression  \n",
    "\n",
    "#### Getting Started\n",
    "\n",
    "Here's the steps to get setup in Python with the GeostatsPy package:\n",
    "\n",
    "1. Install Anaconda 3 on your machine (https://www.anaconda.com/download/). \n",
    "2. From Anaconda Navigator (within Anaconda3 group), go to the environment tab, click on base (root) green arrow and open a terminal. \n",
    "3. In the terminal type: pip install geostatspy. \n",
    "4. Open Jupyter and in the top block get started by copy and pasting the code block below from this Jupyter Notebook to start using the geostatspy functionality. \n",
    "\n",
    "If you want to work locally you will need to first copy the data file to your working directory. It is available here:\n",
    "\n",
    "* Tabular data - unconv_MV.csv found [here](https://github.com/GeostatsGuy/GeoDataSets/blob/master/unconv_MV.csv).\n",
    "\n",
    "You don't have to download the data if you want to load directly from my github account with the code below.\n",
    "\n",
    "#### Import Required Packages\n",
    "\n",
    "We will also need some standard packages. These should have been installed with Anaconda 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os                                                   # to set current working directory \n",
    "import math                                                 # basic calculations like square root\n",
    "import pandas as pd                                         # DataFrames and plotting\n",
    "import numpy as np                                          # arrays and matrix math\n",
    "import matplotlib.pyplot as plt                             # plotting\n",
    "import matplotlib.ticker as ticker                          # modify the plot axis labels\n",
    "from sklearn.model_selection import train_test_split        # train and test split\n",
    "from sklearn.pipeline import Pipeline                       # machine learning modeling pipeline\n",
    "from sklearn.model_selection import GridSearchCV            # model hyperparameter grid search\n",
    "from sklearn.model_selection import KFold                   # k-fold cross validation\n",
    "from sklearn.preprocessing import StandardScaler            # feature standardization\n",
    "np.random.seed(seed=73038)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  \n",
    "\n",
    "#### Declare functions\n",
    "\n",
    "Let's define a couple of convenience functions for model visualization and hyperparameter tuning. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_model(model,xtrain,xtest,x_min,x_max,ytrain,ytest,y_min,y_max,rtrain,rtest,z_min,z_max,title,colorbar=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    #cmap = plt.cm.RdYlBu\n",
    "    cmap = plt.cm.plasma\n",
    "    plot_step = max((x_max-x_min),(y_max-y_min))/200\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    #cs = plt.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "    cs = plt.imshow(Z,interpolation = None,extent = [x_min,x_max,y_min,y_max], vmin = z_min, vmax = z_max,cmap = cmap)\n",
    "\n",
    "    im = plt.scatter(xtrain,ytrain,s=None, c=rtrain, marker='o', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.5, verts=None, edgecolors=\"white\",label='train')\n",
    "    im2 = plt.scatter(xtest,ytest,s=None, c=rtest, marker='s', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.5, verts=None, edgecolors=\"black\",label='test')\n",
    "    plt.xlim([x_min,x_max]); plt.ylim([y_min,y_max])\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xtrain.name)\n",
    "    plt.ylabel(ytrain.name)\n",
    "    plt.legend(loc = 'upper right')\n",
    "    if colorbar == True:\n",
    "      cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "      cbar.set_label(rtrain.name, rotation=270, labelpad=20)\n",
    "        \n",
    "def visualize_model_sub(ax,model,xtrain,xtest,x_min,x_max,ytrain,ytest,y_min,y_max,rtrain,rtest,z_min,z_max,title,legend=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    cmap = plt.cm.RdYlBu\n",
    "    cmap = plt.cm.plasma\n",
    "    plot_step = 0.02\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    cs = ax.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "    im = ax.scatter(xtrain,ytrain,s=None, c=rtrain, marker='o', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.5, verts=None, edgecolors=\"white\",label='train')\n",
    "    im2 = ax.scatter(xtest,ytest,s=None, c=rtest, marker='s', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.5, verts=None, edgecolors=\"black\",label='test')   \n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel(xtrain.name)\n",
    "    ax.set_ylabel(ytrain.name)\n",
    "    ax.set_xlim(x_min,x_max)\n",
    "    ax.set_ylim(y_min,y_max)\n",
    "    if legend == True:\n",
    "      cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "      cbar.set_label(rtrain.name, rotation=270, labelpad=20)    \n",
    "        \n",
    "def tune_model(model,X,y,par_name,par_min,par_max,npar,spar,log_scale,int_list,title,xlabel):\n",
    "    scorelist = []\n",
    "    if log_scale:\n",
    "        parlist = np.logspace(math.log10(par_min),math.log10(par_max),npar)\n",
    "    else: \n",
    "        if int_list == True:\n",
    "            step = int((par_max-par_min)/npar)\n",
    "            parlist = np.arange(par_min,par_max+1,step,dtype = int)\n",
    "        else:\n",
    "            parlist = np.linspace(par_min,par_max,npar)\n",
    "\n",
    "    pipe = Pipeline([                                           # the machine learning workflow as a pipeline object\n",
    "        ('model', model)\n",
    "    ])\n",
    "\n",
    "    params = {                                                  # the machine learning workflow method's parameters\n",
    "        'model__' + str(par_name): parlist,\n",
    "    }\n",
    "    folds = 4\n",
    "    grid_cv_tuned = GridSearchCV(pipe, params, scoring = 'neg_mean_squared_error', # grid search cross validation \n",
    "                             cv=KFold(n_splits=folds,shuffle=False),\n",
    "                             refit = True)\n",
    "\n",
    "    grid_cv_tuned.fit(X,y)                                      # fit model with tuned hyperparameters        \n",
    "        \n",
    "    scorelist = abs(grid_cv_tuned.cv_results_['mean_test_score'])   \n",
    "    \n",
    "    if log_scale:    \n",
    "        plt.arrow(parlist[np.argmin(scorelist)],0,0,np.max(scorelist)*1.2,width=parlist[np.argmin(scorelist)]/10.0,color='red',head_length=0.0,head_width=0.0)    \n",
    "        plt.arrow(spar,0,0,np.max(scorelist)*1.2,width=spar/10.0,color='black',head_length=0.0,head_width=0.0)\n",
    "    else:\n",
    "        plt.arrow(parlist[np.argmin(scorelist)],0,0,np.max(scorelist)*1.2,width=1,color='red',head_length=0.0,head_width=0.0)    \n",
    "        plt.arrow(spar,0,0,np.max(scorelist)*1.2,width=0.5,color='black',head_length=0.0,head_width=0.0)\n",
    "    \n",
    "    plt.annotate('Your Model',[spar,np.max(scorelist)*0.95],rotation=270.0)\n",
    "    if int_list == True:\n",
    "        plt.annotate('Tuned Model, ' + xlabel + ' = ' + str(format(parlist[np.argmin(scorelist)],\"d\")),[parlist[np.argmin(scorelist)],np.max(scorelist)*0.4],rotation=270.0)\n",
    "    else:\n",
    "        plt.annotate('Tuned Model, ' + xlabel + ' = ' + str(format(parlist[np.argmin(scorelist)],\"4.3f\")),[parlist[np.argmin(scorelist)],np.max(scorelist)*0.4],rotation=270.0)\n",
    "\n",
    "        \n",
    "    plt.scatter(parlist,scorelist,s=5, c=\"red\", marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=0.8, linewidths=0.5, verts=None, edgecolors=\"black\")\n",
    "    y_labels = plt.gca().get_yticks()\n",
    "    plt.gca().yaxis.set_major_formatter(ticker.FormatStrFormatter('%0.0e'))\n",
    "    plt.title(title); plt.xlabel(xlabel); plt.ylabel('Mean Square Error')\n",
    "    if log_scale:\n",
    "        plt.xscale('log'); \n",
    "    plt.xlim(par_min,par_max); plt.ylim(1.0,np.max(scorelist)*1.2)\n",
    "    \n",
    "def check_model(model,xtrain,xtest,ytrain,ytest,rtrain,rtest,rmin,rmax,title):    # plots the estimated vs. the actual  \n",
    "    predict_train = model.predict(np.c_[xtrain,ytrain])\n",
    "    predict_test = model.predict(np.c_[xtest,ytest])\n",
    "    plt.scatter(rtrain,predict_train,s=None, c='red',marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=0.2, linewidths=0.3, verts=None, edgecolors=\"black\", label = 'train')\n",
    "    plt.scatter(rtest,predict_test,s=None, c='blue',marker='s', cmap=None, norm=None, vmin=None, vmax=None, alpha=0.2, linewidths=0.3, verts=None, edgecolors=\"black\", label = 'test')\n",
    "    plt.title(title); plt.xlabel('Actual Production (MCFPD)'); plt.ylabel('Estimated Production (MCFPD)')\n",
    "    plt.xlim(rmin,rmax); plt.ylim(rmin,rmax)\n",
    "    plt.legend(loc = 'upper right')\n",
    "    plt.arrow(rmin,rmin,rmax,rmax,width=0.02,color='black',head_length=0.0,head_width=0.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time).\n",
    "\n",
    "* I include this for convience if you want to write out results or load the data file locally"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#os.chdir(\"c:/PGE383\")                                       # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will have to update the part in quotes with your own working directory and the format is different on a Mac (e.g. \"~/PGE\").  \n",
    "\n",
    "#### Read the data table\n",
    "\n",
    "We use a data \"unconv_MV.csv\" comma delimited file from my GitHub [respository](https://github.com/GeostatsGuy/GeoDataSets).  \n",
    "\n",
    "* this code loads the data directly from my GitHub repository.\n",
    "* if you have the data file available locally (i.e. you are not connected to the internet) set the working directory to the location with the data file and use the second line below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_data = pd.read_csv(\"https://raw.githubusercontent.com/GeostatsGuy/GeoDataSets/master/unconv_MV.csv\")   # load the comma delimited data file\n",
    "#my_data = pd.read_csv(\"unconv_MV.csv\")                     # load the comma delimited data file locally\n",
    "my_data = my_data.sample(frac = 0.2)                        # reduce the number of data for testing and visualization\n",
    "num = my_data._get_numeric_data()                           # get the numerical values\n",
    "production_error = 1500                                     # adjust the error in the response feature\n",
    "my_data['Production'] = my_data['Production'] + np.random.normal(loc=0.0,scale=production_error,size=len(my_data))\n",
    "num[num < 0] = 0                                            # truncate negative values to 0.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize the first several rows of our data stored in a DataFrame so we can make sure we successfully loaded the data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WellIndex</th>\n",
       "      <th>Por</th>\n",
       "      <th>LogPerm</th>\n",
       "      <th>AI</th>\n",
       "      <th>Brittle</th>\n",
       "      <th>TOC</th>\n",
       "      <th>VR</th>\n",
       "      <th>Production</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>263</td>\n",
       "      <td>18.59</td>\n",
       "      <td>1.98</td>\n",
       "      <td>1.91</td>\n",
       "      <td>56.49</td>\n",
       "      <td>0.92</td>\n",
       "      <td>1.57</td>\n",
       "      <td>4196.571056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>786</td>\n",
       "      <td>23.31</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2.72</td>\n",
       "      <td>17.93</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.19</td>\n",
       "      <td>1117.707449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>856</td>\n",
       "      <td>13.67</td>\n",
       "      <td>1.14</td>\n",
       "      <td>2.89</td>\n",
       "      <td>28.69</td>\n",
       "      <td>0.62</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1306.847675</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     WellIndex    Por  LogPerm    AI  Brittle   TOC    VR   Production\n",
       "262        263  18.59     1.98  1.91    56.49  0.92  1.57  4196.571056\n",
       "785        786  23.31     2.27  2.72    17.93  2.04  2.19  1117.707449\n",
       "855        856  13.67     1.14  2.89    28.69  0.62  1.73  1306.847675"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data.head(n=3)                                           # preview the first 3 rows of the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's remove the well index and check the summary summary statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>200.0</td>\n",
       "      <td>14.99170</td>\n",
       "      <td>3.111665</td>\n",
       "      <td>5.79</td>\n",
       "      <td>12.955000</td>\n",
       "      <td>15.035000</td>\n",
       "      <td>17.092500</td>\n",
       "      <td>24.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.41340</td>\n",
       "      <td>0.404338</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.177500</td>\n",
       "      <td>1.415000</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>2.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>200.0</td>\n",
       "      <td>3.01940</td>\n",
       "      <td>0.552788</td>\n",
       "      <td>1.33</td>\n",
       "      <td>2.685000</td>\n",
       "      <td>3.025000</td>\n",
       "      <td>3.352500</td>\n",
       "      <td>4.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>200.0</td>\n",
       "      <td>49.88965</td>\n",
       "      <td>14.801094</td>\n",
       "      <td>17.93</td>\n",
       "      <td>39.647500</td>\n",
       "      <td>49.885000</td>\n",
       "      <td>59.240000</td>\n",
       "      <td>89.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.02490</td>\n",
       "      <td>0.499605</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.697500</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>1.372500</td>\n",
       "      <td>2.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2.02435</td>\n",
       "      <td>0.298912</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.837500</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>2.190000</td>\n",
       "      <td>2.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2424.08672</td>\n",
       "      <td>1916.796002</td>\n",
       "      <td>0.00</td>\n",
       "      <td>935.685819</td>\n",
       "      <td>2194.198856</td>\n",
       "      <td>3812.526316</td>\n",
       "      <td>11353.810415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count        mean          std    min         25%          50%  \\\n",
       "Por         200.0    14.99170     3.111665   5.79   12.955000    15.035000   \n",
       "LogPerm     200.0     1.41340     0.404338   0.24    1.177500     1.415000   \n",
       "AI          200.0     3.01940     0.552788   1.33    2.685000     3.025000   \n",
       "Brittle     200.0    49.88965    14.801094  17.93   39.647500    49.885000   \n",
       "TOC         200.0     1.02490     0.499605   0.00    0.697500     1.010000   \n",
       "VR          200.0     2.02435     0.298912   0.90    1.837500     2.030000   \n",
       "Production  200.0  2424.08672  1916.796002   0.00  935.685819  2194.198856   \n",
       "\n",
       "                    75%           max  \n",
       "Por           17.092500     24.650000  \n",
       "LogPerm        1.660000      2.580000  \n",
       "AI             3.352500      4.520000  \n",
       "Brittle       59.240000     89.450000  \n",
       "TOC            1.372500      2.230000  \n",
       "VR             2.190000      2.900000  \n",
       "Production  3812.526316  11353.810415  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data = my_data.iloc[:,1:8]                               # copy all rows and columns 1 through 8, note 0 column is removed\n",
    "my_data.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Standardizing Predictor Features\n",
    "\n",
    "The k-nearest neighbour etc. methods uses a nearest training sample search in feature space (like k-means clustering). To remove the impact feature range from the approach we standardize the features.\n",
    "\n",
    "* we will standardize our predictor features to have a mean of zero and a variance of one.\n",
    "\n",
    "* we use the scikikt learn preprocessing to simplify this step and provid a reverse transform.\n",
    "\n",
    "We also extract the selected, transformed features as convenient DataFrames for the next workflow steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Por</th>\n",
       "      <th>LogPerm</th>\n",
       "      <th>AI</th>\n",
       "      <th>Brittle</th>\n",
       "      <th>TOC</th>\n",
       "      <th>VR</th>\n",
       "      <th>Production</th>\n",
       "      <th>Standardized Porosity</th>\n",
       "      <th>Standardized Brittleness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>18.59</td>\n",
       "      <td>1.98</td>\n",
       "      <td>1.91</td>\n",
       "      <td>56.49</td>\n",
       "      <td>0.92</td>\n",
       "      <td>1.57</td>\n",
       "      <td>4196.571056</td>\n",
       "      <td>1.159293</td>\n",
       "      <td>0.447056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>23.31</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2.72</td>\n",
       "      <td>17.93</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.19</td>\n",
       "      <td>1117.707449</td>\n",
       "      <td>2.679972</td>\n",
       "      <td>-2.164695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>13.67</td>\n",
       "      <td>1.14</td>\n",
       "      <td>2.89</td>\n",
       "      <td>28.69</td>\n",
       "      <td>0.62</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1306.847675</td>\n",
       "      <td>-0.425822</td>\n",
       "      <td>-1.435897</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Por  LogPerm    AI  Brittle   TOC    VR   Production  \\\n",
       "262  18.59     1.98  1.91    56.49  0.92  1.57  4196.571056   \n",
       "785  23.31     2.27  2.72    17.93  2.04  2.19  1117.707449   \n",
       "855  13.67     1.14  2.89    28.69  0.62  1.73  1306.847675   \n",
       "\n",
       "     Standardized Porosity  Standardized Brittleness  \n",
       "262               1.159293                  0.447056  \n",
       "785               2.679972                 -2.164695  \n",
       "855              -0.425822                 -1.435897  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transform = StandardScaler(); \n",
    "features = ['Por','Brittle']\n",
    "\n",
    "my_data['Standardized Porosity'] = transform.fit_transform(my_data.loc[:,features].values)[:,0] # standardize the data features to mean = 0, var = 1.0\n",
    "my_data['Standardized Brittleness'] = transform.fit_transform(my_data.loc[:,features].values)[:,1] # standardize the data features to mean = 0, var = 1.0\n",
    "\n",
    "X1 = my_data['Standardized Porosity']\n",
    "X2 = my_data['Standardized Brittleness']\n",
    "X = my_data[['Standardized Porosity','Standardized Brittleness']]\n",
    "y = my_data['Production']\n",
    "my_data.head(n=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can compare the output above with the original porosity and brittleness. The reverse transform works! We will use it to return to the original feature units.\n",
    "\n",
    "#### Feature Ranges\n",
    "\n",
    "Let's set some ranges for plotting. Note for the standardized predictor features we will use -3.5 to 3.5 as the limits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "pormin = 5.0; pormax = 25.0                                 # set minumums and maximums for visualization \n",
    "brittlemin = 0.0; brittlemax = 100.0\n",
    "prodmin = 0.0; prodmax = 9000.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset has variables from 1,000 unconventional wells including well average porosity, log transform of permeability (to linearize the relationships with other variables), accoustic impedance (kg/m2s*10^6), brittness ratio (%), total organic carbon (%), vitrinite reflectance (%), and initial production 90 day average (MCFPD).  Note, the dataset is synthetic.\n",
    "\n",
    "#### Working with Only Two Predictor Features\n",
    "\n",
    "Let's simplify the problem to 2 predictor features, Porosity and Brittleness to predict Production rate.  We will also reduce the number of wells from 1,000 to 500.  By working with only 2 features, it is very easy to visualize the segmentation of the feature space (it is only 2D and can be shown compleltely on a single plot)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_data_subset = my_data.iloc[:,[7,8,6]]                    # extract just por, brittle and prod with 100 samples\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.25, random_state=73073)\n",
    "X1_train = X_train.iloc[:,0]; X2_train = X_train.iloc[:,1]; X1_test = X_test.iloc[:,0]; X2_test = X_test.iloc[:,1]; \n",
    "y_train = pd.DataFrame({'Production':y_train.values})       # force the response feature to be a DataFrame instead of a 1D ndarray\n",
    "y_test = pd.DataFrame({'Production':y_test.values})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first check the univariate statistics of Porosity, Brittleness and Producton."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(231)\n",
    "plt.hist(X1_train, alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Porosity Training Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(232)\n",
    "plt.hist(X_train.iloc[:,1], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Britteness Training Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(233)\n",
    "plt.hist(y_train.iloc[:,0], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Production Training Data (MCFPD)'); plt.xlim(prodmin,prodmax)\n",
    "\n",
    "plt.subplot(234)\n",
    "plt.hist(X_test.iloc[:,0], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Porosity Testing Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(235)\n",
    "plt.hist(X_test.iloc[:,1], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Britteness Testing Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(236)\n",
    "plt.hist(y_test.iloc[:,0], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20)\n",
    "plt.title('Production Testing Data (MCFPD)'); plt.xlim(prodmin,prodmax)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=2.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The distributions are well behaved, we cannot observe obvious gaps nor truncations.  Let's look at a scatter plot of Porosity vs. Brittleness with points colored by Production."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(121)\n",
    "im = plt.scatter(X_train.iloc[:,0],X_train.iloc[:,1],s=None, c=y_train.iloc[:,0], marker=None, cmap=plt.cm.plasma, norm=None, vmin=prodmin, vmax=prodmax, alpha=0.8, linewidths=0.3, verts=None, edgecolors=\"black\")\n",
    "plt.title('Training Production vs. Brittleness and Porosity'); plt.xlabel('Porosity (%)'); plt.ylabel('Brittleness (%)')\n",
    "plt.xlim(-3,3); plt.ylim(-3,3)\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(\"Production\", rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplot(122)\n",
    "im = plt.scatter(X_test.iloc[:,0],X_test.iloc[:,1],s=None, c=y_test.iloc[:,0], marker=None, cmap=plt.cm.plasma, norm=None, vmin=prodmin, vmax=prodmax, alpha=0.8, linewidths=0.3, verts=None, edgecolors=\"black\")\n",
    "plt.title('Testing Production vs. Brittleness and Porosity'); plt.xlabel('Porosity (%)'); plt.ylabel('Brittleness (%)')\n",
    "plt.xlim(-3,3); plt.ylim(-3,3)\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(\"Production\", rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This problem looks complicated and could not be modeled with simple linear regression.  It appears there is a sweet spot for Brittleness and increasing Porosity is always beneficial for Production.\n",
    "\n",
    "#### Play with a Variety of Machine Learning Models\n",
    "\n",
    "Let's try out several machine learning prediction models to predict production with the porosity and brittleness data.\n",
    "\n",
    "Here's our machine learning prediction model:\n",
    "\n",
    "\\begin{equation}\n",
    "production = f(porosity,brittleness) + \\epsilon\n",
    "\\end{equation}\n",
    "\n",
    "We will show use the following models:\n",
    "\n",
    "* multilinear regression [Lecture](https://www.youtube.com/watch?v=0fzbyhWiP84&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=21)\n",
    "* ridge regression [Lecture](https://www.youtube.com/watch?v=pMGO40yXZ5Y&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=22)\n",
    "* k-nearest nearbours [Lecture](https://www.youtube.com/watch?v=lzmeChSYvv8&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=30)\n",
    "* decision tree [Lecture](https://www.youtube.com/watch?v=JUGo1Pu3QT4&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=38)\n",
    "* random forest [Lecture](https://www.youtube.com/watch?v=m5_wk310fho&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=39)\n",
    "* gradient boosting [Lecture](https://www.youtube.com/watch?v=___T8_ixIwc&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=40)\n",
    "\n",
    "check out the links for lectures on my YouTube channel for each. \n",
    "\n",
    "* I have a lot of lectures available on machine learning in the Subsurface Machine Learning [Playlist](https://www.youtube.com/watch?v=5kBS5ThMHcU&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf) \n",
    "\n",
    "___\n",
    "\n",
    "#### Instantiate, Fit and Predict with Multilinear Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a linear regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* there are no hyperparameters to try out with linear regression, standard linear regression does not have an option to tune model complexity / flexibility\n",
    "* changing the norm from L2 (not commonly done, but demonstrated [here](https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_Norms.ipynb)) changes sensitivity to the training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model parameters are = \n",
      "  Slope X1 = 702.51 and slope X2 = 115.37\n",
      "  Intercept = 2341.96\n",
      "Testing mean square error = 3161931.6\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "linear_model = LinearRegression()                            # instantiate the prediction model\n",
    "linear_model.fit(X_train,y_train)                    # train the model with the training data\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(linear_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Multilinear Regression Model')\n",
    "     \n",
    "plt.subplot(122)    \n",
    "check_model(linear_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Multilinear Regression Cross Validation Plot')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.3, hspace=0.2)\n",
    "plt.show()\n",
    "\n",
    "from sklearn import metrics                                 # measures to check our models\n",
    "predict_test = linear_model.predict(np.c_[X_test.iloc[:,0],X_test.iloc[:,1]])\n",
    "print('Model parameters are = ') \n",
    "print('  Slope X1 = ' + str(round(linear_model.coef_[0][0],2)) + ' and slope X2 = ' + str(round(linear_model.coef_[0][1],2)))\n",
    "print('  Intercept = ' + str(round(linear_model.intercept_[0],2)))\n",
    "print('Testing mean square error = ' + str(round(metrics.mean_squared_error(predict_test,y_test.iloc[:,0]),2)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Ridge Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a linear regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* $\\lambda$ - the shrinkage factor applied to the shrinkage penalty, penalizes large absolute slope terms \n",
    "\n",
    "* linear regression alternative with hyperparamter tuning through regularization and feature selection:\n",
    "   \n",
    "    * LASSO [Lecture](https://www.youtube.com/watch?v=cVFYhlCCI_8&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=23)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import Ridge\n",
    "\n",
    "lam = 0.0001                                                  # hyperparameter\n",
    "lam_min = 1.0e-10; lam_max = 1.0e10; nlam = 20                           \n",
    "\n",
    "ridge_model = Ridge(alpha = lam)                             # instantiate the prediction model\n",
    "ridge_model.fit(X_train,y_train)                             # train the model with the training data\n",
    "\n",
    "plt.subplot(131)\n",
    "visualize_model(ridge_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Ridge Regression, Lambda = ' + str(lam))\n",
    "    \n",
    "plt.subplot(132)    \n",
    "check_model(ridge_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Ridge Regression Cross Validation Plot, Lambda = ' + str(lam))\n",
    "    \n",
    "plt.subplot(133)\n",
    "tune_model(ridge_model,X,y,'alpha',lam_min,lam_max,nlam,lam,True,False,'Ridge Regression Hyperparameter Tuning','Lambda')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with $k$ Nearest Neighbour\n",
    "\n",
    "Let's instantiate, fit and predict with a $k$ nearest neighbour model.\n",
    "\n",
    "* instantiate it with the hyperparameters, $k$ nearest neighbours \n",
    "\n",
    "* train with the training data, we use the standard fit function from scikit learn \n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **k** - number of nearest training data to use for the estimate\n",
    "* **low k** - high model complexity / flexibility\n",
    "* **high k** - low model complexity / flexibility\n",
    "\n",
    "Just change this line of code below:\n",
    "\n",
    "```python\n",
    "k = 5                                                       # hyperparameter\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsRegressor          \n",
    "\n",
    "k = 10                                                      # hyperparameter\n",
    "k_min = 1; k_max=150; nk = 80                         \n",
    "\n",
    "neigh_model = KNeighborsRegressor(weights = 'uniform', n_neighbors=k, p = 1) # instantiate the prediction model\n",
    "neigh_model.fit(X_train,y_train)                            # train the model with the training data\n",
    "\n",
    "plt.subplot(131)\n",
    "visualize_model(neigh_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'k-Nearest Neighbours, k = ' + str(k))\n",
    "    \n",
    "plt.subplot(132)    \n",
    "check_model(neigh_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'k-Nearest Neighbours Cross Validation Plot, k = ' + str(k))\n",
    "\n",
    "plt.subplot(133)\n",
    "tune_model(neigh_model,X,y,'n_neighbors',k_min,k_max,nk,k,False,True,'k-nearest Neighbours Hyperparameter Tuning','k')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Decision Tree Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a decision tree regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **max_leaf_nodes** - maximum number of regions, terminal nodes, in the decision tree, low **max_lead_nodes** - low model complexity / flexibility\n",
    "* **min_samples_leaf** - minimum number of training data in a regions, terminal nodes, in the decision tree, low **min_samples_leaf** - high model complexity / flexibility\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low modelcomplexity / flexibility\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "max_leaf_nodes = 20                                       # hyperparameters\n",
    "min_samples_leaf = 2\n",
    "max_depth = 10\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn import tree                                   # tree program from scikit learn (package for machine learning)\n",
    "\n",
    "nodes = 8                                                 # hyperparameters\n",
    "nodes_min = 2; nodes_max=100; nnodes = 80                         \n",
    "\n",
    "tree_model = tree.DecisionTreeRegressor(max_leaf_nodes = nodes) # instantiate the prediction model\n",
    "tree_model.fit(X_train,y_train)                            # train the model with the training data\n",
    "\n",
    "plt.subplot(131)\n",
    "visualize_model(tree_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Decision Tree, Leaf Nodes = ' + str(nodes))\n",
    "    \n",
    "plt.subplot(132)    \n",
    "check_model(tree_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Decision Tree Cross Validation Plot, Leaf Nodes = ' + str(nodes))\n",
    "    \n",
    "plt.subplot(133)\n",
    "tune_model(tree_model,X,y,'max_leaf_nodes',nodes_min,nodes_max,nnodes,nodes,False,True,'Decision Tree Hyperparameter Tuning','Leaf Nodes')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Tree-based Random Forest Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a random forest regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **max_leaf_nodes** - maximum number of regions, terminal nodes, in the individual decision trees\n",
    "\n",
    "Other Model Hyperparameters:\n",
    "\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low model complexity / flexibility\n",
    "* **n_estimators** - the number of decision trees to average to make the ensemble estimate\n",
    "* **max_features** - number of features to randomly select for each decision, if 2 you will get tree bagging regression\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "fnodes = 80                                               # hyperparameters\n",
    "max_depth = 10                                            \n",
    "n_estimators = 1000\n",
    "max_features = 2\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor        \n",
    "\n",
    "fnodes = 20                                              # hyperparameters\n",
    "fnodes_min = 2; fnodes_max=100; fnnodes = 40              \n",
    "\n",
    "max_depth = 10                                            \n",
    "n_estimators = 10\n",
    "max_features = 2\n",
    "\n",
    "forest_model = RandomForestRegressor(max_leaf_nodes=fnodes,random_state=73073,n_estimators=n_estimators, max_features=max_features)\n",
    "forest_model.fit(X_train,y_train.iloc[:,0])                         # train the model with training data \n",
    "\n",
    "plt.subplot(131)\n",
    "visualize_model(forest_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Random Forest, Leaf Nodes = ' + str(fnodes))\n",
    "         \n",
    "plt.subplot(132)    \n",
    "check_model(forest_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Random Forest Cross Validation Plot, Leaf Nodes = ' + str(fnodes))\n",
    "  \n",
    "plt.subplot(133)\n",
    "tune_model(forest_model,X,y,'max_leaf_nodes',fnodes_min,fnodes_max,fnnodes,fnodes,False,True,'Random Forest Hyperparameter Tuning','Leaf Nodes')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Tree-based Gradient Boosting Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a tree-based gradient boosting regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **loss** - the loss function, 'ls' for least squares, L2 norm solution\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low model complexity / flexibility for each additive model for less ability to capture feature interactions and slower learning \n",
    "* **learning_rate** - too fast and the solution may be unstable, diverge, and too slow and the solution make take too long\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "params = {\n",
    "    'loss': 'ls',                                           # L2 Norm - least squares\n",
    "    'max_depth': 2,                                         # maximum depth of each tree\n",
    "    'learning_rate': 0.003,                                 # learning learning\n",
    "    'criterion': 'mse'                                      # individual tree loss\n",
    "}\n",
    "```\n",
    "\n",
    "Note, the above is a dictionary, a convenient Python class to flexibly store information, like the model hyperparameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor      # tree-based gradient boosting\n",
    "\n",
    "learning_rate = 0.003                                      # hyperparamters\n",
    "learning_rate_min = 0.000001; learning_rate_max = 1.0; learning_rate_n = 20\n",
    "\n",
    "gnodes = 100                                                 \n",
    "# gnodes_min = 2; gnodes_max=150; gnnodes = 20\n",
    "\n",
    "params = {\n",
    "    'loss': 'ls',                                           # L2 Norm - least squares\n",
    "    'max_leaf_nodes': gnodes,                               # maximum depth of each tree\n",
    "    'learning_rate': learning_rate,                         # constraint on magnitude of update with each estimator / for slow, robust learning\n",
    "    'criterion': 'mse'                                      # tree construction criteria is mean square error over training\n",
    "}\n",
    "\n",
    "gb_model = GradientBoostingRegressor(n_estimators=1000,**params) # instantiate the prediction model\n",
    "gb_model.fit(X_train,y_train['Production'])                    # train the model with the training data\n",
    "\n",
    "plt.subplot(131)\n",
    "visualize_model(gb_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Gradient Boosting, Learning Rate = ' + str(learning_rate))\n",
    " \n",
    "plt.subplot(132)    \n",
    "check_model(gb_model,X_train.iloc[:,0],X_test.iloc[:,0],X_train.iloc[:,1],X_test.iloc[:,1],y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Gradient Boosting Cross Validation Plot, Learning Rate = ' + str(learning_rate))\n",
    " \n",
    "plt.subplot(133)\n",
    "tune_model(gb_model,X,y,'learning_rate',learning_rate_min,learning_rate_max,learning_rate_n,learning_rate,True,False,'Gradient Boosting Hyperparameter Tuning','Learning Rate')\n",
    "#tune_model(gb_model,X,y,'max_leaf_nodes',gnodes_min,gnodes_max,gnnodes,gnodes,False,True,'Decision Tree Hyperparameter Tuning','Leaf Nodes')\n",
    "     \n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Summary\n",
    "\n",
    "Let's look at all our models together for a visual comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import gridspec\n",
    "fig = plt.figure(constrained_layout=False)\n",
    "gs = gridspec.GridSpec(1,6, figure=fig,width_ratios = [1,1,1,1,1,1.2] ) \n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[0]),linear_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Linear Model',legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[1]),ridge_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Ridge Model, Lambda = ' + str(lam),legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[2]),neigh_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'k-nearest Neighbour, k = ' + str(k),legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[3]),tree_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Decision Tree, Leaf Nodes = ' + str(nodes),legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[4]),forest_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Random Forest, Leaf Nodes = ' + str(fnodes),legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[5]),gb_model,X_train.iloc[:,0],X_test.iloc[:,0],-3.5,3.5,X_train.iloc[:,1],X_test.iloc[:,1],-3.5,3.5,y_train.iloc[:,0],y_test.iloc[:,0],prodmin,prodmax,'Gradient Boosting, Leaf Nodes = ' + str(gnodes),legend=True)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=6, top=1.2, wspace=0.15, hspace=0.2)\n",
    "\n",
    "fig.savefig('Multiple_ML_Models.jpg',dpi = 400, bbox_inches = 'tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comments\n",
    "\n",
    "We just ran fast to build a variety of machine learning models with model parameter training and hyperparameter tuning. \n",
    "\n",
    "* I hope this was a help demonstration.\n",
    "\n",
    "* See the linked lectures at the beginning of this workflow for much more information about machine learning.\n",
    "\n",
    "I hope this was helpful,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "On twitter I'm the @GeostatsGuy.\n",
    "\n",
    "\n",
    "***\n",
    "\n",
    "#### More on Michael Pyrcz and the Texas Center for Geostatistics:\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "*Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions*\n",
    "\n",
    "With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. \n",
    "\n",
    "For more about Michael check out these links:\n",
    "\n",
    "#### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Want to Work Together?\n",
    "\n",
    "I hope this content is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate.\n",
    "\n",
    "* Want to invite me to visit your company for training, mentoring, project review, workflow design and / or consulting? I'd be happy to drop by and work with you! \n",
    "\n",
    "* Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems!\n",
    "\n",
    "* I can be reached at mpyrcz@austin.utexas.edu.\n",
    "\n",
    "I'm always happy to discuss,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "#### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n"
   ]
  }
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